PR-Index: Using the h-Index and PageRank for Determining True Impact

Chao Gao · Zhen Wang · Xianghua Li · Zili Zhang

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Web visibility and informetrics

Abstract

Several technical indicators have been proposed to assess the impact of authors and institutions. Here, we combine the h-index and the PageRank algorithm to do away with some of the individual limitations of these two indices. Most importantly, we aim to take into account value differences between citations-evaluating the citation sources by defining the h-index using the PageRank score rather than with citations. The resulting PR-index is then constructed by evaluating source popularity as well as the source publication authority. Extensive tests on available collections data (i.e., Microsoft Academic Search and benchmarks on the SIGKDD innovation award) show that the PR-index provides a more balanced impact measure than many existing indices. Due to its simplicity and similarity to the popular h-index, the PR-index may thus become a welcome addition to the technical indices already in use. Moreover, growth dynamics prior to the SIGKDD innovation award indicate that the PR-index might have notable predictive power.

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References

2005An index to quantify an individual's scientific research output 2009Power-Law Distributions in Empirical Data 2018Power-law distributions in empirical data 2005Co-authorship networks in the digital library research community 2006Is it possible to compare researchers with different scientific interests?2006Finding scientific gems with Google’s PageRank algorithm 2009The e-Index, Complementing the h-Index for Excess Citations 2006Journal status

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